These three stocks should be big winners in the AI supercycle.

This company designs chips ideal for AI inference tasks, which explains the outstanding growth in its revenue and earnings.

The artificial intelligence (AI) infrastructure market is booming, with five of the largest hyperscalers (owners of massive data centers) alone set to spend an eye-popping $700 billion in 2026. To put ...

Unmanned Swarm Systems, defined by their distributed coordination among multiple unmanned units, have emerged as a transformative force across diverse high-stakes fields. In disaster rescue, USS can ...

The proposed framework for human performance reliability evaluation consists of three phases. First, data is obtained via subjective worker self-assessments and objective expert evaluations. Second, ...

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale. High inference latency and ...

AI reasoning does not necessarily require spending huge amounts on frontier models. Instead, smaller models can yield ...

While the tech world obsesses over headlines about the $100 million price tag to train GPT-4, the real economic story is happening in inference: the ongoing cost of actually running AI models in ...

Semiconductor stocks have been under pressure lately, as evidenced by the 1% retreat in the PHLX Semiconductor Sector index over the past month. However, chip designer Marvell Technology (NASDAQ: MRVL ...